Open AccessIntegrating and Accessing University Information APIs Using Natural Language ProcessingTools
Author(s) -
Shantanu Hadap,
Shubha Shubha
Publication year - 2020
Publication title -
actas del congreso internacional de ingeniería de sistemas
Language(s) - English
Resource type - Conference proceedings
ISSN - 2810-806X
DOI - 10.26439/ciis2019.5530
Subject(s) - computer science , scope (computer science) , natural language , world wide web , multimedia , point (geometry) , implementation , human–computer interaction , software engineering , programming language , artificial intelligence , geometry , mathematics
Attending or working at a university requires students and faculty to manage a large amount of information to be successful. Both school administration and academic challenges have requirements to be met. One solution to this problem is to provide a virtual assistant which gives the required information to students and faculty. In this work, a virtual assistant that can completely understand conversational English and provide any needed information has been created. Talking to a virtual assistant to get the information is more convenient than the conventional way of doing it. Getting information from the virtual assistant does not require typing or browsing or any type of human interventions, which makes it more time-efficient and accessible. This solution has been tried in a private environment with a small scope at the University of St. Thomas and the results have been encouraging. Sixty percent (60%) of the users believe the assistant is very useful and the remainder finds it moderately useful.